Fuzzy-entropy threshold based on a complex wavelet denoising technique to diagnose Alzheimer disease

The presence of irregularities in electroencephalographic (EEG) signals entails complexities during the Alzheimer's disease (AD) diagnosis. In addition, the uncertainty presented on EEG raises major issues in the improvement of the classification rate. The multi-resolution analysis through an o...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Healthc Technol Lett
Main Authors: Lazar, Prinza, Jayapathy, Rajeesh, Torrents-Barrena, Jordina, Mol, Beena, Mohanalin, Puig, Domenec
Format: Artigo
Jezik:Inglês
Izdano: The Institution of Engineering and Technology 2016
Teme:
Research Articles
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6371778/
https://ncbi.nlm.nih.gov/pubmed/30800318
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1049/htl.2016.0022
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